What is a data lakehouse?

A data lakehouse combines the flexibility and scalability of data lakes with the structured governance and performance of traditional data warehouses, addressing the challenges of managing large volumes of raw, diverse data. It supports ACID transactions, enhancing data integrity and allowing centralized storage of transactional data, thereby eliminating data silos and improving accessibility. By using open table formats and robust query engines, lakehouses offer efficient storage, streamlined data pipelines, and improved query performance, making them suitable for advanced analytics, machine learning, and AI projects. This architecture democratizes data access, enabling non-technical users to engage with data while maintaining security and privacy. The case study of 7bridges illustrates the practical advantages of implementing a data lakehouse, including significantly faster query speeds, reduced development cycles, and optimized infrastructure costs, all of which enhance customer experience by enabling quicker access and integration of data for insightful decision-making.